Who we are

We come from countries around the world to form a community of humans focused on the responsible development of AI. At MIT and IBM Research, we share a “mind and hand” commitment to the scientific method grounded in the practical pursuit of solving the world’s biggest problems.

The team at IBM Research Cambridge in Kendall Square.

Leadership

The MIT-IBM Watson AI Lab is lead by MIT chair and School of Engineering Dean Anantha Chandrakasan, IBM chair and Director of IBM Research Dario Gil, and MIT co-chair and MIT Stephen A. Schwarzman College of Computing Dean Dan Huttenlocher. David Cox of IBM Research and Aude Oliva of MIT co-direct the Lab. Each of our projects is jointly proposed and executed by IBM researchers and MIT faculty members. Annual project proposals are overseen by the MIT-IBM steering committee: co-chairs David Cox and Aude Oliva, head of AI+D in the MIT Schwarzman College of Computing Antonio Torralba, Esther and Harold E. Edgerton Associate Professor at MIT Elsa A. Olivetti, Director of IBM Research Cambridge Lisa Amini, and Vice President of IBM Research Exploratory Science Jeff Welser.

Aude Oliva photo

Dr. Aude Oliva is the MIT director of the MIT–IBM Watson AI Lab and director of strategic industry engagement in the MIT Schwarzman College of Computing, leading collaborations with industry to translate natural and artificial intelligence  research into tools for the wider world.

Dr. David Cox

Dr. David Cox is the IBM director the MIT-IBM Watson AI Lab. Formerly a Harvard professor, he is a computational neuroscientist prioritizing the lab’s work in neuro-symbolic AI and other key areas while leading the lab’s IBM team in Cambridge.

Anantha P. Chandrakasan

Dr. Anantha Chandrakasan is the dean of the MIT School of Engineering, the Vannevar Bush Professor of Electrical Engineering and Computer Science, and the MIT chair of the MIT-IBM Watson AI Lab. His research focuses on making electronic circuits more energy efficient.

Dario Gil

Dr. Dario Gil is the IBM chair of the MIT-IBM Watson AI Lab and the director of IBM Research. He received his PhD in electrical engineering and computer science from MIT and now leads IBM’s research strategies in Quantum, AI, Security, and other key areas.

AI Safety

Nathan Fulton

AI for Good

Kalyan Veeramachaneni

Automated Planning

Michael Katz Masataro Asai

Autonomous Systems

Cathy Wu

Big Data

Guy Bresler

Computational Analysis

Douglas Lauffenburger

Computational Materials Science

Connor Coley Giuseppe Romano Raul Radovitzky Elsa Olivetti

Computational Social Science

Dean Eckles

Explainability

Hendrik Strobelt

Fluid Dynamics

Lydia Bourouiba

Generative Models

Phillip Isola Jessie Rosenberg

Graph Deep Learning

Mark Weber

High Performance Computing

Steven Johnson

Human-Centered AI

Lucy Yip Dakuo Wang

Human-Computer Interaction

Arvind Satyanarayan Julie Shah

Knowledge Representation

Veronika Thost

Medical Image Analysis

Polina Golland

Multi-agent Systems

Asu Ozdaglar

Multimodal Learning

Youssef Mroueh

Natural Language Processing

Yoon Kim Yujia Bao Boris Katz James Glass

Neural Symbolic Systems

Brian Williams

Neuroscience

James DiCarlo David Cox

Operations

Gil Cordova

Reinforcement Learning

Pulkit Agrawal

Statistics

Devavrat Shah

Transfer Learning

Prasanna Sattigeri

Wireless technology

Muriel Medard